The Impact of Coding and Noise on Iris Recognition System Performance

被引：0
|
作者：
Gul, Burak Kursat [1 ]
Kurnaz, Cetin [1 ]
机构：
[1] Ondokuz Mayis Univ, Elekt Elekt Muhendisligi Bolumu, Samsun, Turkey
来源：
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU) | 2016年
关键词：
biometrics; iris recognition; coding; image processing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The use of biometric recognition system that use the humans' specific characteristics electronically is increasing every day. Iris recognition system is a very effective and popular biometric recognition system. The system performance changes depend on the number of bits used in coding and the noise level. Therefore, in this study, the impact of the coding and noise on iris recognition system performance is examined. The optimal number of bits in coding stage is determined using a MATLAB simulator and 14 different eye images. Also, system performance was tested for different noise levels, and resolved at the highest noise level which system can work properly.
引用
收藏
页码：1921 / 1924
页数：4
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